Théophile Gaudin

1.9k citations
37 papers · 978 indexed · 1 hit paper · h-index 14

Théophile Gaudin

37 papers receiving 960 citations

Hit Papers

A Comprehensive Discovery Platform for Organophosphorus L...2022202620232024202250100150

Peers

Théophile Gaudin
Comparison fields: 5 of 96
  • Materials Chemistry 466
  • Computational Theory and Mathematics 350
  • Organic Chemistry 281
  • Molecular Biology 226
  • Biomedical Engineering 145
Replace Iiris Kahn with:
Iiris Kahn Estonia
Minati Kuanar United States
Florence H. Vermeire Belgium
Richard Lakerveld Hong Kong
Guillaume Fayet France
Hirotomo Moriwaki Japan
Andrzej Bąk Poland
Fangyou Yan China
Adam D. Clayton United Kingdom
Shahin Ahmadi Iran
Théophile Gaudin relative to Iiris Kahn Estonia Iiris Kahn's profile →
Citations per field
00.5×5.3×
Iiris Kahn · 1×
Citations per year

Countries citing papers authored by Théophile Gaudin

Since Specialization
Citations

This map shows the geographic impact of Théophile Gaudin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Théophile Gaudin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Théophile Gaudin more than expected).

Fields of papers citing papers by Théophile Gaudin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Théophile Gaudin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Théophile Gaudin. The network helps show where Théophile Gaudin may publish in the future.

Co-authorship network of co-authors of Théophile Gaudin

This figure shows the co-authorship network connecting the top 25 collaborators of Théophile Gaudin. A scholar is included among the top collaborators of Théophile Gaudin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Théophile Gaudin. Théophile Gaudin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 5
3 2
4 1
5 3
6 1
7 11
8 2
9
A Comprehensive Discovery Platform for Organophosphorus Ligands for Catalysisbreakdown →
192
10 19
11 11
12 4
13
Advanced Data-Driven Manufacturing.
1
14 22
15 75
16 43
17 17
18 30
19 27
20 18

About Théophile Gaudin

Théophile Gaudin is a scholar working on Computational Theory and Mathematics, Spectroscopy and Filtration and Separation, having authored 37 papers that have together received 978 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Analytical Chemistry and Chromatography (9 papers) and Surfactants and Colloidal Systems (8 papers). The work is most often cited by research in Computational Theory and Mathematics (350 citations), Materials Chemistry (466 citations) and Organic Chemistry (281 citations). Théophile Gaudin has collaborated with scholars based in France, China and Switzerland. Frequent co-authors include Guillaume Fayet, Patricia Rotureau, Dávid Lányi, Philippe Schwaller, Costas Bekas, Teodoro Laino, Isabelle Pezron, Alán Aspuru‐Guzik, Haibo Ma and Jean‐Marie Aubry. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Journal of Colloid and Interface Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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